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Volume 43 Issue 8
Aug.  2021
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Min LI, Can XIONG, Yang XIAO. An Event-driven Cooperative Transmission Scheme for Dynamic Clustering Networks[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2232-2239. doi: 10.11999/JEIT200707
Citation: Min LI, Can XIONG, Yang XIAO. An Event-driven Cooperative Transmission Scheme for Dynamic Clustering Networks[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2232-2239. doi: 10.11999/JEIT200707

An Event-driven Cooperative Transmission Scheme for Dynamic Clustering Networks

doi: 10.11999/JEIT200707
Funds:  The National Key R&D Program of China (2018YFB1702000), The National Natural Science Foundation of China (61701065), The Natural Science Foundation of Chongqing (cstc2019jcyj-msxmX0444)
  • Received Date: 2020-08-10
  • Rev Recd Date: 2020-12-18
  • Available Online: 2021-02-24
  • Publish Date: 2021-08-10
  • In order to enhance the transmission reliability of event-driven wireless sensor networks, a cooperative transmission scheme for event-driven dynamic clustering network is proposed by utilizing collaboration between nodes. When no event occurs, each node transmits data to its cluster head at a very low frequency in pre-formed static cluster. Once an event occurs, the nodes that perceive the occurrence quickly form an event cluster and send data to the cluster head. The cluster head fuses the data and reports it to the sink node. The cluster head fuses the data and sends it to the sink node. If the cluster head fails to transmit, the best relay cooperates with it for forwarding data to improve the transmission reliability. In the best relay selection, considering the continuous movement of events, the nodes on the forward channel of events have strong induction intensity and good cooperation ability. Therefore, a best relay selection strategy based on the forward channel is developed. Simulation and experimental results show that the proposed scheme can effectively improve the transmission reliability.
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  • [1]
    AMUTHA J, SHARMA S, and NAGAR J. WSN strategies based on sensors, deployment, sensing models, coverage and energy efficiency: Review, approaches and open issues[J]. Wireless Personal Communications, 2020, 111(2): 1089–1115. doi: 10.1007/s11277-019-06903-z
    [2]
    ARANDA J, MENDEZ D, and CARRILLO H. Multimodal wireless sensor networks for monitoring applications: A review[J]. Journal of Circuits, Systems and Computers, 2020, 29(2): 2030003. doi: 10.1142/S0218126620300032
    [3]
    ULLAH Z. A survey on Hybrid, Energy Efficient and Distributed (HEED) based energy efficient clustering protocols for wireless sensor networks[J]. Wireless Personal Communications, 2020, 112(4): 2685–2713. doi: 10.1007/s11277-020-07170-z.
    [4]
    RANGANATHAN A and RANGASAMY B. Analysis of energy-efficient clustering algorithms for Wireless Sensor Network (WSN)[J]. Journal of Testing and Evaluation, 2019, 47(6): 3864–3877. doi: 10.1520/JTE20180487.
    [5]
    EVER E, SHAH P, MOSTARDA L, et al. On the performance, availability and energy consumption modelling of clustered IoT systems[J]. Computing, 2019, 101(12): 1935–1970. doi: 10.1007/s00607-019-00720-9
    [6]
    赵太飞, 许杉, 屈瑶, 等. 基于无线紫外光隐秘通信的侦察无人机蜂群分簇算法[J]. 电子与信息学报, 2019, 41(4): 967–972. doi: 10.11999/JEIT180491

    ZHAO Taifei, XU Shan, QU Yao, et al. Cluster-based algorithm of reconnaissance UAV swarm based on wireless ultraviolet secret communication[J]. Journal of Electronics &Information Technology, 2019, 41(4): 967–972. doi: 10.11999/JEIT180491
    [7]
    XIAO Changjiang, CHEN Nengcheng, GONG Jianya, et al. Event-driven distributed information resource-focusing service for emergency response in smart city with cyber-physical infrastructures[J]. ISPRS International Journal of Geo-Information, 2017, 6(8): 251. doi: 10.3390/ijgi6080251
    [8]
    ARANZAZU-SUESCUN C and CARDEI M. Anchor-based routing protocol with dynamic clustering for Internet of Things WSNs[J]. EURASIP Journal on Wireless Communications and Networking, 2019, 2019(1): 130. doi: 10.1186/s13638-019-1447-8
    [9]
    DING Yongsheng, CHEN Rui, and HAO Kuangrong. A rule-driven multi-path routing algorithm with dynamic immune clustering for event-driven wireless sensor networks[J]. Neurocomputing, 2016, 203: 139–149. doi: 10.1016/j.neucom.2016.03.052
    [10]
    谢承翰, 陆赛杰, 李云骥, 等. 无线传感器网络中含未知输入的事件驱动状态估计器设计[J]. 通信学报, 2017, 38(S1): 200–206. doi: 10.11959/j.issn.1000-436x.2017254

    XIE Chenghan, LU Saijie, LI Yunji, et al. Design of event-triggered state estimator with unknown input in wireless sensor networks[J]. Journal on Communications, 2017, 38(S1): 200–206. doi: 10.11959/j.issn.1000-436x.2017254
    [11]
    邵振峰, 蔡家骏, 王中元, 等. 面向智能监控摄像头的监控视频大数据分析处理[J]. 电子与信息学报, 2017, 39(5): 1116–1122. doi: 10.11999/JEIT160712

    SHAO Zhenfeng, CAI Jiajun, WANG Zhongyuan, et al. Analytical processing method of big surveillance video data based on smart monitoring cameras[J]. Journal of Electronics &Information Technology, 2017, 39(5): 1116–1122. doi: 10.11999/JEIT160712
    [12]
    SAZAK N, ERTÜRK I, KÖKLÜKAYA E, et al. An event-driven WSN MAC protocol design based on active node and dynamic time slot allocation[J]. Turkish Journal of Electrical Engineering & Computer Sciences, 2013, 21(3): 812–824. doi: 10.3906/elk-1108-14
    [13]
    LEE W, YIM Y, PARK S, et al. A cluster-based continuous object tracking scheme in wireless sensor networks[C]. The 74th IEEE Vehicular Technology Conference, San Francisco, USA, 2011. doi: 10.1109/VETECF.2011.6093203.
    [14]
    LEYVA-MAYORGA I, RIVERO-ANGELES M E, and ARELLANO C C. Performance analysis of a non-preemptive hybrid WSN protocol in mobile environments[C]. The 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA), Victoria, Canada, 2014: 486–491. doi: 10.1109/WAINA.2014.83.
    [15]
    KRUSHNAJI R D. RE3TP: Reliable and energy efficient event transmission protocol in event driven WSN[C]. IEEE International Conference on Computer, Communication and Control, Indore, India, 2015: 7375683. doi: 10.1109/IC4.2015.7375683.
    [16]
    BIAZI A, MARCON C, SHUBEITA F, et al. A dynamic TDMA-based sleep scheduling to minimize WSN energy consumption[C]. The 13th IEEE International Conference on Networking, Sensing, and Control, Mexico City, Mexico, 2016: 7478994. doi: 10.1109/ICNSC.2016.7478994.
    [17]
    HU Yuan, NIU Yugang, LAM J, et al. An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs[J]. IEEE Sensors Journal, 2017, 17(3): 834–847. doi: 10.1109/JSEN.2016.2632198
    [18]
    PRIYA K C K and TERENCE S. RETP: Reliable event transmission protocol in a wireless sensor network[C]. 2013 IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology, Tirunelveli, India, 2013: 181–188. doi: 10.1109/ICE-CCN.2013.6528489.
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